Hardware Software CO Optimization Jobs in Bengaluru

Position: Embedded Software Developer Department: Research & Development Reporting To: General Manager Location: Bengaluru Key Responsibilities Embedded System Development Work with a team of developers to design, create, and implement **embedded systems and applications** for R&D projects, which will later be integrated into BFW machines. Develop embedded software from requirements gathering to production and commercial deployment. Assist an in-house team of embedded developers in the creation of **prototype boards, coding, and testing**. Demonstrate previous embedded projects, including examples and supporting audiovisual materials. Software Design & Implementation Design, develop, test, and debug **embedded system software**. Review and optimize code for efficiency, stability, and scalability. Analyze system resources and integrate new product designs into the system. Interface with hardware design and development teams to ensure seamless integration. Testing & Support Provide **post-production support** and assist in the debugging and troubleshooting of embedded systems. Support software **quality assurance (QA)** and optimize I/O performance for embedded systems. Third-Party Software Integration Assess and integrate **third-party and open-source software** solutions as needed for system functionality. Behavioral Competencies Component Selection: Ability to select appropriate components for embedded systems based on requirements. Communication: Strong written and verbal communication skills for documentation, team collaboration, and customer interaction. Problem Solving: Ability to work independently, troubleshoot issues, and optimize system performance. Skills and Expertise Core Programming Skills Proficient in **C, C++, and Python**. (**Must know**) Expertise in **QT and QML**. (**Must know**) Hardware Knowledge Experience with schematic design, PCB component placements, layouts, and artwork. (Good to know) Understanding of **EMC standards** and their application in hardware design. (Good to know) Microcontroller & Processor Expertise Working knowledge of **8, 16, and 32-bit microcontrollers**. (**Must know**) Experience with **32-bit and 64-bit microprocessors**, including ATOM, ARM, PIC, Atmel, etc. (**Must know**) Communication Protocols Proficient with communication protocols such as **RS232C, RS485, USB, TCP/IP, Modbus RTU/TCP, and shared memory (Redis)**. (**Must know**) POC & Testing Setup Proficient in creating **proof-of-concept (POC)** layouts and writing test code for available lab resources to validate designs. Qualifications Essential: Bachelor's degree in Mechanical Engineering, Computer Science, or related field (or equivalent). Experience: Minimum of **2 years of experience** working and developing embedded software for platforms. Proficiency in developing software and working with hardware in an embedded environment. Qualification : Bachelor's degree in Mechanical Engineering, Computer Science, or related field (or equivalent)

Position: Software/Embedded Developer Location: Bengaluru Employment Type: Full-Time Job Overview We are seeking a motivated and skilled Software/Embedded Developer to design, develop, and implement **embedded solutions** for our 3D printer systems. This role focuses on enhancing UI/UX interfaces, communication protocols, and hardware integration for embedded platforms. Key Responsibilities Embedded Development: Design and develop embedded applications using **Python and/or C++**. UI/UX: Build intuitive **UI/UX interfaces using Qt** for embedded platforms. Communication: Implement and maintain **web socket communication** for device connectivity. Functionality Enhancement: Develop and integrate **plugins** to enhance product functionality. Version Control: Use version control systems (**GitHub**) for code management and collaboration. Microcontroller Interfacing: Program and interface with **Raspberry Pi and Atmega-based microcontrollers**. Hardware Integration: Collaborate with hardware engineers to integrate software with 3D printer electronics. Testing & Optimization: Debug, test, and optimize embedded applications to ensure system reliability and performance. Code Quality: Participate in **code reviews** and provide feedback on system design and implementation. Required Qualifications & Skills Education: Bachelor s degree in Electronics, Computer Science, or a related field (**Freshers welcome**). Experience: Proven experience in embedded systems development. Core Programming: Proficiency in **Python and/or C++**. GUI Framework: Hands-on experience with **Qt framework** for GUI development. Design: Strong understanding of **UI/UX principles**. Technical Tools: Experience with **web sockets, plugin development, and version control systems (GitHub)**. Hardware Platforms: Practical knowledge of working with **Raspberry Pi and Atmega microcontrollers**. Domain Knowledge: Familiarity with **3D printing technology** is a strong advantage. Soft Skills: Excellent **problem-solving and debugging skills**; strong communication and teamwork abilities. Qualification : Bachelors degree in Electronics, Computer Science, or a related field

Android Developer Location: Bengaluru Experience: 5 8 Years Industry: Automotive / Electric Vehicles Job Type: Full-time Company: Ultraviolette Automotive Pvt. Ltd. Join the Charge. Create the Future. At Ultraviolette, we re more than a company we re a movement. From building India s fastest electric motorcycle to designing the world s most advanced electric scooter, we re pioneering what s next in sustainable mobility. We push boundaries, chase performance, and innovate relentlessly. We are engineers, designers, technologists, and dreamers united by a mission to create exhilarating machines that are smart, sustainable, and futuristic. If you're passionate about software, embedded platforms, and world-class mobility products, come help shape the next frontier in electric mobility. Role Overview: As an Android Developer, you ll own the Android system software stack, working across firmware, system-level architecture, and user experience optimization. You ll be a key player in building and customizing the platform that powers our electric vehicles, interfacing with hardware and software teams to deliver smooth, responsive, and cutting-edge Android experiences. Key Responsibilities: Own and lead end-to-end Android system software development and maintenance. Work closely with 3rd-party vendors and internal stakeholders to align platform-layer development. Collaborate with hardware, firmware, and UI/UX teams to create innovative solutions and PoCs. Optimize Android system performance (kernel, framework, UX) for responsiveness and user satisfaction. Manage external partnerships where required to support development efforts. Customize Android components such as WebView, rendering engines, and system services for optimal experience. Drive software benchmarking and performance improvement efforts across layers. Use modern tools and best practices for code quality, debugging, and version control. Requirements: Bachelor s/Master s in Computer Science, Electronics, or related field. 5 to 8 years of experience in Android and Embedded platform development. Expertise in Android Framework (FW), Linux Kernel, device trees, and driver customization. Proficiency in Java, Kotlin, and Android Studio. Solid understanding of system architecture, particularly as it relates to mobile performance and UX. Hands-on experience with Android performance tools and benchmarking methodologies. Strong background in data structures, algorithms, design patterns, and object-oriented design. Familiarity with 3D rendering, WebView customization, and UI/UX animation techniques is a plus. Experience with tools like Git, Jira, and scripting languages such as Python. Understanding of AI/ML integration in software is a bonus. Knowledge of build systems like Buildroot, Yocto, Docker is preferred. Strong grasp of system-level components including RAM/ROM/CPU/GPU/MPU, drivers, connectivity stacks, modems, power systems, etc. What You ll Gain: A high-impact role at the heart of next-gen electric mobility innovation. Cross-functional collaboration with hardware, firmware, UX, and R&D experts. Exposure to cutting-edge technologies in IoT, AI/ML, embedded systems, and Android customization. A culture that rewards curiosity, bold ideas, and purposeful execution. Let s create the future of mobility together. Apply now to be part of the electric revolution at Ultraviolette Qualification : Bachelors/Masters in Computer Science, Electronics, or related field

Job Title: Software Engineer GPU Performance Location: Bengaluru Overview: We are looking for a highly skilled Software Engineer GPU Performance with a deep understanding of CUDA, GPU hardware architecture, and low-level performance optimization. The ideal candidate will have hands-on experience building high-performance GPU-based pipelines, optimizing time-continuous kernels, and dynamically managing processing loads between the CPU and GPU. Key Responsibilities: Utilize low-level CUDA APIs to implement and optimize GPU kernels and memory management strategies. Design and optimize pipelined image processing frameworks, ensuring seamless multi-block function execution and inter-block communication. Conduct low-level GPU performance analysis and optimizations using tools like: NVIDIA Nsight Compute NVIDIA Visual Profiler NVIDIA Graphics Developer Tools Optimize CUDA cores and kernels for maximum throughput, particularly in time-continuous processing scenarios. Implement dynamic load balancing between GPU kernels and processing functions. Design interleaved execution strategies between CPU and GPU, including real-time GPU control flow modifications from the CPU. Use NVIDIA Direct technologies for direct memory access from PCIe, USB, and display hardware, bypassing CPU intervention. Build systems to visualize GPU memory for debugging without requiring CPU transfers. Contribute to the design and optimization of foundational neural networks, including mathematical modeling of time-weighted kernels. Stay up to date with emerging GPU tools and platforms; exposure to NVIDIA Omniverse is a plus. Required Skills & Qualifications: Strong proficiency in C/C++. In-depth experience with low-level CUDA programming. Proficiency with Visual Studio toolchain and related debugging tools. Solid understanding of GPU hardware architecture and system-level performance tuning. Hands-on experience with GPU memory management, kernel interleaving, and CPU-GPU orchestration. Strong problem-solving skills and the ability to write clean, efficient, and maintainable code. Experience in neural network architecture design and low-level performance optimization is highly desirable. Exposure to Omniverse, real-time rendering, or simulation platforms is a bonus.

Job Title: Robotics Solution Engineer Location: Bengaluru Key Focus Areas: The ideal candidate will have experience and expertise in 40-60% of the following domains: Task Development: Breaking down complex robotic tasks (e.g., pick, orient, place) and designing efficient workflows. Simulation and Validation: Using advanced physics-based simulation tools to model and validate robotic systems and interactions. System Integration: Seamless integration of hardware, software, and sensors tailored to customer environments. Customer-Centric Solutions: Customizing robotic solutions to fit specific customer requirements and constraints. Foundational R&D and ML Development: Supporting research and machine learning algorithm development to enhance robotic perception, autonomy, and decision-making. Roles and Responsibilities: Physics-Based Simulation Development: Develop comprehensive physics-based models for robots, environments, and their interactions. Create and validate dynamic models involving rigid body dynamics, contact physics, material properties, and compliance, especially for multi-arm robotic systems. Build and maintain digital twins of physical robots and real-world environments. Algorithm Development & Implementation: Design, implement, and validate control and motion planning algorithms for multi-arm robots, focusing on manipulation and grasping. Optimize kinematics, dynamics, and force-based control strategies for real-time robotic applications. Support learning-based algorithm implementation for real-time perception and manipulation, including simulation-based testing and validation. Machine Learning Applications: Apply machine learning techniques to robotic perception and decision-making. Implement learning-based algorithms for perception and manipulation tasks. Testing, Validation & Optimization: Develop protocols to validate simulation accuracy by bridging virtual and real-world performance. Create automated test sequences and metrics for robust validation across various scenarios. Analyze simulation results to enhance system performance, safety, and reliability, suggesting design improvements. Collaboration & Cross-Functional Support: Work closely with controls engineers to validate and tune control systems in simulation. Collaborate with algorithm, software, and hardware teams to refine systems and resolve issues. Provide insights from simulation analyses to guide product improvements. Documentation & Reporting: Document simulation approaches, assumptions, and validation outcomes clearly. Prepare detailed reports on system performance, testing results, and optimization opportunities. Skills and Experience: Core Expertise: Advanced physics-based modeling and numerical simulation techniques. Deep understanding of robot kinematics, dynamics, and control theory. Experience with simulation validation and verification methodologies. Sensor modeling for cameras, force/torque sensors, etc. Motion planning algorithm knowledge. Familiarity with machine learning frameworks (PyTorch, TensorFlow) and real-time control implementation. Software & Tools: Experience with physics simulation platforms like NVIDIA Isaac Sim/Omniverse, CoppeliaSim, Mujoco, PyBullet, PhysX, Gazebo, or equivalents. Proficient in Python and C++ for scripting and automation tasks. Comfortable integrating CAD software and managing version control with Git. Engineering & Analysis: Skills in system dynamics modeling and error analysis. Developing test plans and performing root cause analysis. Conducting feasibility studies and model validation. Required Qualifications: Bachelor s or Master s degree in Robotics, Mechanical Engineering, or related fields. Minimum 3 years of professional experience in robotics engineering, with a focus on simulation and modeling. Strong foundation in robot kinematics, dynamics, and control systems. Proficient in Python and C++ programming. Experience with physics engines (PhysX, Bullet, PyBullet) and validating simulation results with real-world data. Preferred Qualifications: Master s or PhD in Robotics, Computer Science, or a related discipline. Hands-on experience with NVIDIA Isaac Sim/Omniverse or similar simulation platforms. Background in computer graphics, sensor modeling, and digital twin technologies. Qualification : Bachelors or Masters degree in Robotics, Mechanical Engineering, or related fields.

Job Title: Solution Architect Robotics & Automation Location: Bengaluru Role and Responsibilities Engage closely with customers to understand their applications and translate requirements into detailed Solution Requirement Documents (SRD) for internal delivery. Conduct feasibility studies considering engineering constraints, system integration, ergonomics, unit economics, and process optimization. Design scalable, modular, and serviceable end-to-end automation solutions including factory layouts and workflow automation. Develop detailed solution architectures for automation systems (cells, lines), decomposing into hardware, software, and functional components. Analyze and optimize production processes using simulation tools, addressing bottlenecks to improve cycle times, throughput, and efficiency. Resolve robotic automation challenges such as part presentation, variability, path planning, precision, throughput, reliability, and safety compliance. Plan and manage project workflows, milestones, development, and testing cycles with a focus on process optimization and cycle time analysis. Create and implement test and validation frameworks for design, integration, performance, and safety based on simulation insights. Lead and collaborate with multidisciplinary teams (hardware, software, simulation) and communicate simulation outcomes effectively to customers. Provide ongoing technical guidance and support to customers throughout project lifecycles, tailoring solutions to operational needs. Oversee project planning, execution, and delivery ensuring alignment with customer expectations and production objectives. Skills and Experience Proven expertise in designing and delivering comprehensive robotic and automation solutions end-to-end. Skilled in creating scalable, modular, industry-agnostic system architectures enabling seamless production line integration. Experienced in leading multidisciplinary teams to successful solution delivery. Strong knowledge of warehousing, manufacturing, and assembly processes with an ability to customize solutions to diverse industries. Ability to troubleshoot complex technical issues and optimize performance using advanced simulation tools. Excellent communication skills, capable of explaining technical concepts and simulation results to both technical and non-technical stakeholders. Familiarity with PLCs, IPCs, sensors, IO devices, and communication protocols such as Modbus and Ethernet. Basic programming skills in Python, C++, or similar languages. Strong analytical and problem-solving aptitude with focus on production process optimization. Experience visualizing robotic work envelopes and motion constraints via simulation. Required Qualifications Bachelor s or Master s degree in Robotics, Mechatronics, Mechanical Engineering, Computer Science, or related field. Minimum 5 years experience in solution engineering or a similar role within industrial engineering. Proven customer-facing experience, preferably delivering solutions to large or Fortune 500 clients. Strong technical foundation in robotics, industrial machinery, and system-to-site integration. Demonstrated leadership in managing cross-functional teams and multiple projects. Excellent interpersonal and communication skills. Hands-on experience designing automation cells and systems. Additional Preferred Qualifications Master s degree in relevant discipline. 8-10 years of experience as a solution architect or similar senior role. Proficiency with factory simulation tools such as Siemens Plant Simulation, FlexSim, or equivalent. Credible project management experience. Familiarity with modern software development practices including Git and CI/CD pipelines. Qualification : Bachelors or Masters degree in Robotics, Mechatronics, Mechanical Engineering, Computer Science, or related field.

Software Engineer III - AI/ML, Platforms and Devices Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience in data structures or algorithms. 1 year of experience in one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred Qualifications: Master's degree or PhD in Computer Science or a related technical field. Experience developing accessible technologies. About the Job Google's software engineers work on cutting-edge technologies that transform how billions of users connect, explore, and interact with information. Our products must handle data at a massive scale, far beyond web search. We seek engineers who bring innovative ideas from various fields, including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile development. As a Software Engineer, you will work on training and optimizing complex machine learning (ML) models for the Tensor Processing Unit (TPU). By enabling models across diverse applications like camera, speech, Translate, TTS (Text-to-Speech), and others on Edge TPU, you will gain valuable experience in efficient model architectures, optimization techniques, and on-device machine learning at Google. You will also be responsible for managing project priorities, deadlines, and deliverables. Google's mission is to organize the world s information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, software, and hardware to create radically helpful experiences for users. We design and develop new technologies and hardware to make user interactions faster, more seamless, and powerful. Whether advancing form factors, improving interaction methods, or innovating new ways to capture and sense the world around us, our Devices & Services team is helping make people's lives better through technology. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing. Qualification : Master's degree or PhD in Computer Science or a related technical field.

Software Engineer III - Machine Learning, Google One Company: Google Location: Bengaluru, Karnataka, India Minimum Qualifications: Bachelor s degree or equivalent practical experience. 2 years of experience in software development with one or more programming languages, or 1 year with an advanced degree. 2 years of experience with data structures or algorithms in either an academic or industry setting. Preferred Qualifications: Experience with Data Analytics, Privacy Data Handling, Privacy Design Document, and Mathematical Optimization. Understanding of Machine Learning (ML). Excellent software engineering and problem-solving skills through programming. Excellent communications skills. About the Job Google software engineers create next-generation technologies that transform how billions of users connect, explore, and interact with information. Our products must scale to handle vast amounts of data, and our work extends far beyond web search. We are looking for engineers with fresh ideas from a variety of areas including information retrieval, distributed computing, large-scale system design, networking, data storage, security, artificial intelligence (AI), natural language processing (NLP), UI design, and mobile technologies. As a Software Engineer at Google, you will work on projects that are critical to Google s needs, with opportunities to switch teams and projects as our fast-paced business grows. We need engineers who are versatile, show leadership qualities, and are enthusiastic about taking on new problems across the full-stack to push technology forward. Google One (G1) is Google s membership service rooted in storage, offering access to premium features. Our team works across multiple product areas to personalize user experiences through Machine Learning. The Platforms and Ecosystems product area encompasses Google's various computing software platforms across environments such as desktop, mobile, and applications. These products provide enterprises, and ultimately end users, the ability to utilize and manage services at scale. We build innovative software products from apps to TVs, from laptops to phones that impact people s lives globally. Responsibilities Write product or system development code. Collaborate with peers and stakeholders through design and code reviews to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency). Contribute to documentation or educational content and adapt based on product updates and user feedback. Triage product or system issues, debug, track, and resolve them by analyzing the source of issues and their impact on hardware, network, or service operations. Implement solutions in one or more specialized Machine Learning (ML) areas, utilize ML infrastructure, and contribute to model optimization and data processing.

Engineer, Principal/Manager - Machine Learning, AI Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary Qualcomm is seeking an experienced and visionary Principal AI/ML Engineer to lead research, development, and optimization of AI inference systems. This role involves developing high-performance AI models, optimizing deployments across various hardware platforms, and contributing to research in model compression, quantization, and hardware-aware optimization. Education & Experience PhD with 6+ years, Master's with 7+ years, or Bachelor's with 8+ years in Engineering, CS, or related field. 20+ years of experience in AI/ML development; 5+ years in inference optimization and debugging. Key Responsibilities Model Optimization & Quantization Optimize models using quantization (INT8, INT4, mixed precision), pruning, and knowledge distillation. Implement PTQ and QAT techniques for deployment. Experience with TensorRT, ONNX Runtime, OpenVINO, TVM. AI Hardware Acceleration & Deployment Target platforms: Hexagon DSP, CUDA GPUs, TPUs, NPUs, FPGAs, Habana Gaudi, Apple Neural Engine. Use Python APIs: cuDNN, XLA, MLIR for hardware acceleration. Benchmark and debug performance across platforms. AI Research & Innovation Research on efficient AI inference: model compression, low-bit precision, sparse computing. Explore architectures like Sparse Transformers, Mixture of Experts, Flash Attention. Publish in ML conferences: NeurIPS, ICML, CVPR; contribute to open-source projects. Technical Expertise Optimization of LLMs, LMMs, LVMs for inference. Deep Learning frameworks: TensorFlow, PyTorch, JAX, ONNX. Expert in CUDA, cuPy, Numba, TensorRT, ONNX Runtime, OpenVINO. Skilled in Python for scalable AI development. Experience with ML runtime delegates: TFLite, ONNX, Qualcomm AI Stack. Debugging: Netron, TensorBoard, PyTorch Profiler, Nsight, perf, Py-Spy. Cloud inference: AWS Inferentia, Azure ML, GCP AI Platform, Habana Gaudi. Hardware-aware optimization: oneDNN, ROCm, MLIR, SparseML. Contributions to open-source and research publications are a strong plus. Leadership & Collaboration Lead a team of engineers in Python-based AI inference and optimization. Collaborate with researchers, software engineers, DevOps, and hardware vendors. Define debugging, deployment, and performance tuning best practices.

Senior Engineer AI/ML, C/C++ Location: Bangalore, Karnataka, India Company: Qualcomm India Private Limited General Summary As a Qualcomm Software Engineer, you will design, develop, modify, and validate embedded and edge cloud software or specialized utility programs that launch cutting-edge, world-class products. Collaboration is key in this role, working across systems, hardware, test, and architecture teams to meet software performance and interface requirements. About the Role We are seeking a talented AI/ML Engineer with a solid background in AI/ML, C/C++, and operating systems. The ideal candidate has 3 to 5 years of experience in machine learning development and implementation and will be responsible for building and deploying AI gateway solutions that promote innovation and operational efficiency. Required Qualifications Bachelor's or Master s degree in Computer Science, Engineering, or related field. 3 to 5 years of experience in AI/ML development. Technical Skills Strong proficiency in C and C++ programming. Deep understanding of operating system internals and functions. Experience with ML frameworks like TensorFlow, PyTorch, or equivalent. Strong grasp of data structures, algorithms, and software design patterns. Experience in data preprocessing techniques and related tools. Familiarity with Git and version control best practices. Soft Skills Excellent analytical and problem-solving skills. Strong communication and collaboration abilities. Self-motivated with the ability to work independently and as part of a team. Adaptable and eager to stay updated with evolving technologies. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.

Role: System Administrator Experience Required: Minimum of 4+ years of relevant experience Location: Bangalore Notice Period: Open Preferably Immediate Joiners Employment Type: Full-Time About Aezion: Aezion is a forward-thinking technology solutions provider, specializing in custom software development, AI-driven solutions, and enterprise digital transformation. As a trusted digital engineering partner in the USA, we are committed to exceeding client expectations by delivering results that transform clients into long-term partners. Our promise: We get it right or make it right. At Aezion, we believe that work is more than just a job it s a ministry that reflects our values. We are dedicated to delivering excellence throughout the entire project lifecycle, from design and development to hosting, maintenance, and support. Our Culture: Aezion is a mission-driven company with a purpose rooted in service: Love others like Christ. Guided by our core values Love, Dependability, Humility, Diversity, Speed, and Innovation we aim to provide exceptional service. Our 200+ dedicated employees work together to turn our customers into lifelong partners, fueling their success through a commitment to excellence. Role Overview: As a System Administrator at Aezion, you will be pivotal in designing, implementing, and maintaining our IT infrastructure. You will ensure the reliability, scalability, and security of systems, while also optimizing performance and minimizing downtime. This role requires you to collaborate with cross-functional teams to develop infrastructure solutions that align with the business s strategic goals. Key Responsibilities: Provide day-to-day technical support for desktops, laptops, and servers, ensuring minimal downtime for end-users. Troubleshoot and resolve hardware, software, and network-related issues across the organization. Install, configure, and maintain both Windows and Linux operating systems. Manage user accounts, permissions, and security settings within Active Directory and other identity management systems. Deploy, configure, and maintain enterprise applications, antivirus solutions, and other security tools. Support and troubleshoot peripheral devices such as printers, scanners, and mobile devices. Assist with network connectivity issues, including Wi-Fi, LAN, and VPN configurations. Perform regular system updates, patch management, and ensure compliance with security protocols. Document technical procedures, troubleshooting solutions, and best practices for internal use and knowledge sharing. Provide training and support to users regarding IT policies, security, and best practices. Required Skills and Experience: Proven experience with Windows & Linux desktop and server environments. Strong troubleshooting skills for hardware, software, and network issues. Familiarity with Active Directory, Group Policy, and user management processes. Knowledge of IT security best practices, including antivirus solutions and endpoint protection. Expertise in software installation, driver configurations, and system updates. Experience with remote desktop support tools. Basic understanding of networking concepts such as IP addressing, DNS, DHCP, and VPN. Proficiency in supporting Office 365, email clients, and enterprise-level applications. Excellent customer service and communication skills for providing end-user support. IT certifications such as CompTIA A+, Microsoft Certified (MCP, MCSA), or ITIL are highly desirable.

Job Title: Sr. IT Engineer Location: Bangalore (On-site; Full-time) About Locus: At Locus, we are redefining logistics decision-making with deep-tech solutions that drive efficiency, consistency, and transparency across industries like retail and FMCG/CPG. Founded in 2015 by Nishith Rastogi and Geet Garg, Locus has evolved from a women's safety geo-tracking app into a globally recognized logistics optimization platform. Our technology has empowered enterprises such as Unilever and Nestl to execute over a billion deliveries across 30+ countries. Guided by our commitment to innovation and sustainable growth, we transform complex supply chains into strategic growth enablers. Join us at Locus and be part of a team shaping the future of global logistics. Job Overview: As a Sr. IT Engineer, you will be the go-to expert and key enabler for IT operations at Locus. Your primary responsibility will be ensuring seamless functionality, security, and efficiency across all systems and devices, empowering the organization s IT ecosystem to operate smoothly and securely. Key Responsibilities: Identity and Access Management (IAM): Oversee and troubleshoot IAM systems (e.g., SSO solutions and user/group management). Device Management: Administer and manage device management platforms for macOS and Windows, including configuration profiles, policy enforcement, and security compliance. System and Network Maintenance: Perform hardware, software, and security upgrades, ensuring the systems are up-to-date and secure. Network Setup Changes: Perform changes in network setups, including firewalls and L3 switches, ensuring network security and integrity. IT Asset Management: Manage IT assets (e.g., laptops, peripherals), ensuring lifecycle management and security compliance. IT Infrastructure Configuration: Configure and maintain LAN/WAN networks, firewalls, VPNs, and cloud-based networking solutions. SIEM Integration: Integrate various devices with SIEM solutions (e.g., Wazuh) and ensure event and alert management is aligned with security best practices. Troubleshooting: Resolve issues related to operating systems, software applications, network connectivity, and more. Collaboration Tools & Email Support: Provide support for collaboration tools (e.g., Google Workspace) and email platforms, ensuring they are optimized for productivity. Vendor Coordination: Work with vendors to manage IT procurement and asset inventory. IT Security Compliance: Ensure compliance with IT security policies and industry best practices (e.g., ISO 27001, SOC2). Technical Support: Provide guidance and support to end users and internal teams, ensuring their issues are promptly resolved. Qualifications: Experience: 6-8 years of experience in IT support, system, and network administration. Education: Bachelor's/Master s degree in IT, Computer Science, or a related field. IAM Expertise: Strong understanding of identity and access management systems (e.g., Okta, OneLogin, or similar). Device Management Platforms: Proficiency in macOS, Windows, and mobile device management platforms (e.g., MDM solutions). Networking: Solid experience with networking technologies (LAN/WAN, firewalls, VPNs, RADIUS, and cloud-based networking solutions). SIEM Knowledge: Hands-on experience with SIEM solutions, including integration and event analysis. Compliance Experience: Experience in ISO 27001, SOC2 Type II audits from the IT perspective. Cloud Platforms: Familiarity with cloud platforms (AWS, Azure, or GCP) is a plus. Scripting/Programming: Proficiency in scripting/programming languages (e.g., Python) for automation and efficiency improvements. Incident Management: Experience with IT ticketing systems and incident management. Skills: Strong analytical, problem-solving, multitasking, and adaptability skills. Teamwork: Ability to work effectively in both team-oriented and unsupervised environments. Communication: Excellent communication and interpersonal skills, with the ability to engage with diverse teams. What We Offer: Competitive Compensation & Benefits: Receive competitive pay and comprehensive benefits to support your personal and professional well-being. Collaborative Environment: Work in a dynamic, innovative, and collaborative environment where your expertise drives both your growth and that of the organization. Career Growth: Be part of a forward-thinking company with ample opportunities for career advancement. Locus is an equal opportunity employer, dedicated to creating a diverse and inclusive workplace. Qualification : Bachelor's/Master's degree in IT, Computer Science, or a related field.

Software Engineer Power/Thermal Software Products Team Company Qualcomm India Private Limited Job Area Engineering Group > Software Engineering General Summary As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drive digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world-class products that meet and exceed customer needs. You will collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master s degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Languages such as C, C++, Java, Python, etc. Job Description Job Overview: The Power/Thermal Software Products Team at Qualcomm focuses on delivering industry-leading power, thermal, and limit software management solutions across Qualcomm s Mobile, Automotive, Compute, IoT, and AR/VR chipsets. In this role, you will work with cross-functional teams to: Identify power optimization and performance tuning opportunities. Perform thermal/limits hardware tuning, characterization, and risk assessment. Develop optimized solutions and mitigation strategies. Conduct system-level analysis of power/thermal use cases. Collaborate with Architecture, Hardware Design, Performance, Power/Thermal Systems, and various Software teams to create optimal system-level power/thermal software solutions. Develop tools and methodologies for competitive analysis to understand competitors strengths and weaknesses. Design and implement thermal mitigation schemes that are best in the industry. Preferred Qualifications 3+ years of experience with Programming Languages such as C, C++, Java, Python, etc. Strong systems/hardware background with a solid understanding of microprocessor architecture and common SoC hardware blocks (interconnects, display, graphics, etc.). Good understanding of operating system concepts including scheduling, memory management, process management, interrupt handling, and device drivers. Experience using debug tools such as JTAG debuggers, oscilloscopes, and logic analyzers. Experience developing power/thermal management software. In-depth knowledge of embedded systems, microcontrollers, SoC power, modems, multimedia, wireless communications, and system-level debugging/analysis for SoC power optimization. Equal Opportunity Employer Statement Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm is committed to providing an accessible process. You may email [email protected] or call Qualcomm s toll-free number found on their website. Upon request, reasonable accommodations will be provided to support individuals with disabilities during the hiring process. Qualcomm is also committed to ensuring its workplace is accessible to individuals with disabilities. (Please note that this email address is exclusively for accommodation requests. Qualcomm will not respond to requests for application status updates or resume inquiries via this email.) Recruitment Policy Qualcomm s Careers Site is only for individuals seeking employment directly with Qualcomm. Staffing and recruiting agencies, as well as candidates represented by agencies, are not authorized to use this site to submit profiles, applications, or resumes. Any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies and is not responsible for any associated fees. Compliance Notice Qualcomm employees are expected to comply with all applicable policies and procedures, including but not limited to security requirements and protection of company confidential and proprietary information, in line with applicable laws. Qualification : Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

CPU Performance Engineer Company Arm Location Bengaluru Job Overview At Arm, we are building the Future of Computing. Achieving generational performance gains requires deep understanding of the core, microarchitecture, system-level details, and the workloads that run on them. We are seeking a highly motivated and skilled engineer to drive analysis, characterization, and deep understanding of complex infrastructure workloads. This is a versatile and high-visibility role requiring collaboration with global teams including hardware architects, software engineers, and toolchain experts. Your work will help shape the next-generation CPU microarchitecture through comprehensive workload performance analysis. Responsibilities Perform performance analysis and characterization of complex infrastructure workloads to identify software and microarchitectural improvements for next-generation processors/systems. Analyze CPU performance, power, and cost while identifying key technology challenges and opportunities for innovation. Collaborate with Arm architects to develop technologies that contribute to maintaining a best-in-class compute systems roadmap. Develop expertise in the competitive landscape and emerging technologies in areas such as infrastructure, computer vision, and machine learning. Required Skills and Experience Strong knowledge and experience in CPU architecture and microarchitecture, gained through development, research, or performance analysis/modeling/design. Ability to break down workload performance into insights spanning software (applications, toolchain, libraries) and CPU/system microarchitecture. Proven ability to work effectively both independently and as part of geographically distributed teams across multiple functional groups. Innovative mindset with a strong drive to explore new approaches, influence stakeholders through detailed investigation, and solve challenging technical problems. Bachelor s or Master s degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis. Nice-To-Have Skills and Experience Experience in CPU performance analysis and/or modeling. Background in workload analysis, characterization, and/or optimization of open-source software. Understanding of CPU infrastructure architectures and system-level constraints. Hands-on experience with advanced CPU techniques such as branch prediction and prefetching. Comfort working with emerging technologies and staying current with research advancements. Track record of influencing product roadmaps and delivering innovative solutions through prototypes and empirical analysis. What Arm Offers Arm provides an exceptional collaborative environment, offering exciting challenges and career growth opportunities. If you are interested but feel you don t meet every requirement, we encourage you to apply we value diverse skills and innovative thinking! #LI-KR2 Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field, with at least 10 years of experience in CPU or SoC performance analysis.

Job Title: Senior Engineer - Kernel & Driver - Linux Job Summary The Senior Engineer for Kernel & Driver Development in Linux will be responsible for designing, developing, and maintaining embedded Linux systems and drivers. This role involves working on the kernel, device drivers, and board bring-up for various embedded platforms. The engineer will also work closely with cross-functional teams, analyze complex problems, and contribute to the continuous improvement of Linux-based systems. This position requires an individual with strong technical expertise in Linux, kernel development, and embedded systems. Key Responsibilities Kernel and Driver Development: Design, develop, and optimize embedded Linux kernel and device drivers, including board bring-up and device tree configuration. Customize, debug, and fix kernel and driver issues to enhance system performance and reliability. Collaboration and Support: Collaborate with internal teams and customers to resolve technical issues, provide solutions, and ensure system stability. Interact with project managers and team leads to ensure project milestones are met and quality standards are adhered to. System Integration and Testing: Perform system integration and testing to ensure compatibility and proper functioning of kernel and drivers across different platforms. Develop and execute test plans, debug kernel crashes, and perform root cause analysis. Continuous Improvement: Identify opportunities to optimize system performance and enhance the functionality of embedded Linux systems. Provide technical guidance and mentorship to junior engineers and contribute to best practices. Documentation and Reporting: Maintain accurate documentation for kernel configurations, driver designs, and bug fixes. Regularly update project progress, report risks, and participate in code reviews. Education and Experience Required Education: Bachelor's or Master's degree in Computer Science, Electronics, or a related field. Experience: 5+ years of experience in embedded Linux kernel and driver development, with strong expertise in debugging and system optimization. Technical Competencies Linux Kernel & Driver Development: Extensive experience with embedded Linux kernel, device tree, and driver development (customization, bug fixing, and optimization). In-depth knowledge of Linux kernel internals and system architecture. Platforms: Experience with ARM, x86/Intel Atom, or other embedded Linux platforms. Tools: Proficiency with tools such as Lauterbach, Makefile (build systems), Git, and Gerrit. Programming Languages: Strong proficiency in C programming language. Specialization Areas: Power Management Peripherals Media, Display, and Connectivity Data Protocols Security Performance Optimization Android (Optional) Carrier-grade Platforms Additional Competencies Problem-Solving: Ability to troubleshoot complex system issues and provide innovative solutions. Communication Skills: Strong written and verbal communication skills for technical documentation and customer interaction. Team Collaboration: Ability to work effectively with cross-functional teams, including hardware, software, and testing teams. Attention to Detail: Detail-oriented approach to design, debugging, and testing to ensure high-quality system performance. This position is ideal for an experienced engineer with a deep understanding of Linux kernel and driver development who is looking to contribute to cutting-edge embedded systems and gain exposure to new technologies in a fast-paced environment. Qualification : Bachelor's or Master's degree in Computer Science, Electronics, or a related field.

Lead the Future of Mainframe Technology as an IBM Mainframe Technical Lead! Location: Hyderabad, India We are seeking an experienced IBM Mainframe Technical Lead with a strong background in IBM z Hardware, Storage (Disk & Tape), and Data Center Management. This role requires deep expertise in system programming, infrastructure management, disaster recovery, and team leadership to drive complex infrastructure projects and ensure seamless mainframe operations. The ideal candidate will have a proven track record in architecture, technology leadership, vendor management, and high-severity incident handling, along with the ability to mentor and guide technical teams. Key Responsibilities Technical Expertise & Mainframe Infrastructure Management Provide technical leadership in IBM z Hardware, Storage, and Data Center operations. Hands-on experience in z/OS, Storage, CICS, DB2/IMS, Capacity Planning, and Networking. Lead hardware & software refresh initiatives with a strong understanding of IBM Mainframe technology. Manage complex infrastructure projects with multiple dependencies, including ISV products. Ensure high availability and batch SLA compliance, taking proactive measures to mitigate risks. Leadership & Team Management Lead and mentor technical teams, ensuring skill development and career growth. Provide direction to Team Leaders and support resources. Foster a collaborative, cooperative, and motivational leadership approach. Drive people development, talent retention, and career progression strategies. Architecture, Disaster Recovery & Vendor Management Offer architecture and technology leadership to delivery teams. Ensure seamless disaster recovery planning, implementation, and process adherence. Manage mainframe hardware and software vendor contracts efficiently. Maintain a clear understanding of client business needs, mainframe utilization, and future projections. Incident Management & Risk Mitigation Handle high-severity incidents and major recovery efforts effectively. Lead incident recovery bridges and drive resolution strategies. Track availability metrics and take foresighted actions to prevent SLA breaches. Manage change processes to ensure business continuity. Software & Compliance Oversight Provide technical support for software solutions and infrastructure-related concerns. Ensure compliance with software audits and licensing requirements. Identify areas for process improvement and drive technology upgrades. Required Skills & Experience 15+ years of experience in IBM Mainframe Infrastructure Management & System Programming. Strong expertise in z/OS, Storage, CICS, DB2/IMS, Capacity Planning, and Network Administration. Proven leadership in technical teams, project execution, and infrastructure upgrades. In-depth knowledge of IBM hardware/software contracts and ISV vendor management. Strong analytical, problem-solving, and organizational skills. Experience handling high-severity incidents and major incident recovery bridges. Excellent stakeholder management, communication, and team collaboration skills. Ability to work independently and lead cross-functional teams effectively. Be a part of a global, technology-driven organization leading innovation in IBM Mainframes. Drive impactful projects and lead cutting-edge infrastructure transformations. Collaborative and inclusive work environment that values leadership and expertise. Competitive salary and benefits with opportunities for professional growth. If you're an experienced Mainframe expert looking for an exciting leadership opportunity, we d love to hear from you! Apply now and lead the future of Mainframe Technology with us!

Job Description Intel is seeking an experienced Systems Engineer to drive the design, development, and integration of hardware, firmware, and software solutions for Xeon-based platforms. The role focuses on system architecture, performance optimization, and technical risk assessment while ensuring scalability, reliability, and security in system implementations. The ideal candidate will work on customer-centric solutions, influencing next-generation system design and conducting proof-of-concept experiments to validate new features and technologies. Key Responsibilities: System Architecture & Design: Define, develop, and optimize end-to-end solutions integrating software, firmware, board, and silicon/SoC components. Customer-Centric Solutions: Translate business opportunities into use cases, develop product specifications, and implement solutions based on customer needs and system limitations. Performance & Reliability Optimization: Conduct design analysis, assess technical risks, and optimize for security, scalability, and maintainability. Hardware Validation & Debug: Perform schematic reviews, layout verification, mechanical/thermal analysis, and electrical validation (including Signal Integrity (SI) analysis). System Integration: Ensure smooth hardware-software integration, identifying and resolving hardware issues at the component and system levels. Lab-Based Proof-of-Concept Testing: Conduct real-life environment simulations, prototype testing, and performance benchmarking. Documentation & Knowledge Sharing: Develop technical documents, customer presentations, and training materials to enhance internal and external knowledge sharing. Industry Research & Collaboration: Engage in academic and industry research, driving innovation beyond existing solutions. Qualifications & Experience: Educational Requirements: B.E/B.Tech in Electronics & Communication, Computer Science, or a related field. Minimum of 10 years of relevant industry experience. Technical Expertise: Experience in Xeon platform hardware design and validation. Strong knowledge of schematics, PCB layout, mechanical, and thermal analysis. Experience with electrical validation, signal integrity (SI), and power integrity (PI) analysis (desirable). Expertise in hardware issue validation, debugging, and system integration. Strong problem-solving and analytical skills for complex, multi-layered system architectures. Excellent technical documentation and presentation skills. About Intel Validation Engineering (iVE) Group: The Intel Validation Engineering (iVE) Group plays a pivotal role in Intel s technology leadership, validating, debugging, and optimizing Intel s cutting-edge designs. iVE ensures that Intel's next-generation products meet the highest quality standards, enabling Intel to deliver world-class technology platforms. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer that values diversity and welcomes applications from all qualified candidates, regardless of gender, nationality, disability, or other protected status. Intel offers a top-tier compensation and benefits package, including: Competitive salary, stock options, and performance-based bonuses. Health, retirement, and vacation benefits. Access to cutting-edge technology and career growth opportunities. Qualification : B.E/B.Tech in Electronics & Communication, Computer Science, or a related field.

Job Title: Senior ATE Test Engineer Manufacturing & Product Engineering Job Description: Intel is seeking a Senior ATE Test Engineer to drive the testability and manufacturability of integrated circuits from feasibility to high-volume production (HVM). The role involves developing and validating test methodologies, debugging functionality and performance issues, and optimizing test processes for yield and cost efficiency. The engineer will work closely with design, process development, fab, assembly, and manufacturing teams to ensure seamless production ramp-up and quality assurance. Key Responsibilities: Test Development & Debugging: Design, develop, and validate testability circuits and test flows for new products. Debug functionality and performance issues to root cause using Automatic Test Equipment (ATE). Interface with design, DFx (Design for Test, Debug, Manufacturing), and product teams to drive test development. Manufacturability & High-Volume Ramp (HVM): Collaborate with fab, assembly, test factories, and quality/reliability teams to enable smooth production ramp-up. Perform ATE device characterization, define datasheet specifications, and conduct yield analysis. Analyze early customer returns and drive test hole closure activities to enhance quality and reliability. Production Test Optimization: Drive test time reduction by analyzing fallout data and balancing product cost optimizations. Implement bin split and die-level cherry-pick (DLCP) strategies to optimize product supply. Ensure manufacturability through process and spec corner analysis to resolve yield issues before mass production. Hardware & Software Development: Develop and debug complex software programs for test conversion and test automation. Create and validate test hardware solutions for production testing. Optimize component production relative to quality and cost constraints. Qualifications & Experience: Educational Requirements: B.Tech/M.Tech in Computer Science, Electrical, or Electronics Engineering or related fields. Technical Expertise: ATE Test Engineering: Strong expertise in Automatic Test Equipment (ATE) development and debug. DFT & Test Methodologies: Knowledge of DFT architectures and methodologies including Analog DFT, JTAG, etc. Understanding of test engineering processes and tester debugging techniques. Debugging & Validation: Hands-on experience with design/validation and advanced debugging skills. Expertise in Advantest 93K, Teradyne Ultraflex, J750, and related test platforms. Manufacturing Process & Yield Analysis: Experience in yield analysis, bin splitting, and test time optimization. Ability to analyze process corners and drive manufacturing readiness. Soft Skills: Excellent problem-solving skills, teamwork, and communication. Strong interpersonal and planning skills for cross-functional collaboration. About Intel s Manufacturing & Product Engineering (MPE) Group: The MPE team is responsible for test development across Intel s product segments, contributing to 95% of Intel s revenue. The team delivers pre-production test suites and physical debug capabilities to enable high-quality, high-volume manufacturing. Intel s Commitment to Diversity & Inclusion: Intel is an equal opportunity employer that values diversity and welcomes applications from all qualified candidates. Intel offers a competitive compensation and benefits package, including: Competitive salary, stock options, and performance-based bonuses. Comprehensive health, retirement, and vacation benefits. Cutting-edge technology and career growth opportunities. Qualification : B.Tech/M.Tech in Computer Science, Electrical, or Electronics Engineering or related fields.

NVIDIA is searching for outstanding senior system software engineer to join the NVIDIA's automotive display driver team and help produce the next-gen groundbreaking products. The best candidates will have very strong C programming skills and validated understanding of Graphics systems software with clear understanding of Computer Architecture and OS fundamentals. In this position you'll have the opportunity to work on the latest innovative NVIDIA automotive platforms. We have a real passion for pushing the technology to its limit and creativity which will be fully tested and applied here. You will closely work with experts from display and adjacent domains in system software, hardware across NVIDIA to build the best products in the segment. What you'll be doing: Define, design, develop, test and maintain our GPU/Display kernel mode drivers and embedded firmwares. Candidate will have an opportunity to work across multiple operating systems, e.g. Linux, Android, QNX. Get to craft, develop, unit test, document and maintain features for NVIDIA GPUs and Tegra SoCs. What we need to see: BS or equivalent experience in Computer Science or related field. 10+ years of experience developing system software and kernel mode drivers in one or more of the Linux, QNX or Android operating systems. Skilled control over C programming to develop multi-threaded complex kernel mode drivers. Excellent understanding of computer architecture, operating systems concepts, memory management, and concurrency. Experience in graphics device drivers will be a distinguisher. Strong communication and interpersonal skills. Ways to stand out from the crowd: Experience working in Linux DRM-KMS (Kernel Mode Setting) subsystem. Conceptual understanding of user-space compositors, e.g. Android HWC, Wayland Compositor, QNX Screen etc. Experience working with display protocols, e.g. HDMI, Display Port. Qualification : BS or equivalent experience in Computer Science or related field.

We are looking for a proactive Technology Enthusiast to join us as IT Service Manager for Bangalore. You will control the entire lifecycle of our mobile estate from device procurement through retirement and optimize costs and usage with global Enterprise Mobility Management (EMM). A passion for technology, excellent analytical skills, and the ability to thrive in a cross-cultural environment are key attributes we seek. If you are curious, driven, and eager to explore new possibilities, we'd love to talk to you about this exciting opportunity. About You experience, education, skills, and accomplishments Collaborate with cross-functional teams and 3rd party to address service issues, fostering effective communication and coordination to achieve resolution. Bachelor s degree in Computer Science, Engineering, Mathematics, etc or equivalent experience. Minimum 5 years of experience in Troubleshoot and resolve complex hardware, software, and network-related problems Oversee enterprise mobility suite from cost optimization to device lifecycle management with managed mobility service experience It would be great if you also had . . . Experience in building, managing, and maintaining a knowledge base containing policies, procedures, documentation, and knowledge base articles This role involves working closely with various departments (IT, T&E, Finance and 3rd Party Supplier) to optimize mobile device usage, manage mobile expenses, and ensure compliance with company policies. Proficiency in personal computer operating systems, security and office automation software, including Microsoft Windows 10, Teams, Outlook, Word, Excel, PowerPoint, LucidChart, Microsoft SCCM, and Microsoft Office 365. Provide support and solutions include request fulfilment, incident resolution, IT services and implementation, knowledge management and unified endpoint management. Accelerate employee onboarding and productivity through seamless mobile carrier management, adding service to an existing device, order new device. Support our UEM deployment with mobility management to provide policy and compliance management, and endpoint security to protect against threats and data breaches. Gain visibility to our enterprise mobility expenses, data and usage. Discover cross-category trends and configure custom reporting dashboards to efficiently manage and validate contracts, inventory, invoices, processing and payments to reduce costs and optimize resources. Elevate enterprise mobility suite through granular mobile expense management insights and configurable analytics dashboards. Accurately allocate mobile costs at a global scale and enable strategic decision-making to optimize our mobile estate. Track and report on resolution and performance metrics related to mobile device management and support Efficiently plan budgets and align our mobile estate with our organization's financial goals to optimize our enterprise mobility suite. Monitor and analyze team performance metrics related to Service Level Agreements (SLAs) and Key Performance Indicators (KPIs), identifying areas for improvement and implementing strategies to optimize service delivery. About the Team Global IT Workplace Services function with team members based across multiple geographies in across the Globe. The team comprises 50 Members and reports to the Director of Global IT Workplace Services. Hours of Work Fulltime 45 h/week Hybrid working model At Clarivate, we are committed to providing equal employment opportunities for all persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations. Qualification : Bachelors degree in Computer Science, Engineering, Mathematics, etc or equivalent experience.